Staff Machine Learning Engineer, AI Security

Reddit, Inc.

. Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $230,000 - $322,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models, with a strong focus on Python programming, deep learning frameworks, and scalable data pipelines. Capable of leading cross-functional teams, mentoring engineers, and ensuring responsible ML practices.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingDeep Learning FrameworksScalable Data PipelinesModel Evaluation and Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNeural Network ArchitecturesData PreprocessingTokenizationEmbeddingsModel CalibrationAdversarial TrainingModel DistillationSynthetic Data Generation

Soft Skills

Excellent CommunicationMentoring

Tools & Technologies

TensorFlowPyTorchHugging Face TransformersRay TrainPyTorch Distributed

Industry Keywords

NLPSecurityTrust and SafetyFraudPrivacy

Tech Stack

Tools & technologies

PythonPyTorchRayTensorflow

About the role

Key responsibilities & impact

Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems
Build reproducible training and evaluation pipelines on Reddit’s ML platform
Partner with platform engineers to improve inference performance, resource efficiency, and operational reliability
Set the technical vision and multi-quarter modeling roadmap
Gather requirements, define model architectures, and iterate on model development with cross-functional teams
Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness
Define launch criteria balancing false positives, latency, throughput, reliability, and cost
Own training-data quality and the production model lifecycle
Use monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback
Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use
Stay current with research in NLP, large language models, and relevant multimodal techniques
Mentor engineers and lead technical discussions and reviews

Requirements

What you’ll need

8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams
Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers
Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration
Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs
Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps
Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners
Preferred: Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains
Preferred: Experience with adversarial training, model distillation, active learning, or synthetic-data generation

Benefits

Comp & perks

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Equity in the form of restricted stock units
Medical, dental, and vision insurance
Flexible vacation and parental leave